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write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp (Operator)

Name

write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp — Write the training data of a multilayer perceptron to a file.

Signature

write_samples_class_mlp( : : MLPHandle, FileName : )

Herror write_samples_class_mlp(const Hlong MLPHandle, const char* FileName)

Herror T_write_samples_class_mlp(const Htuple MLPHandle, const Htuple FileName)

Herror write_samples_class_mlp(const HTuple& MLPHandle, const HTuple& FileName)

void HClassMlp::WriteSamplesClassMlp(const HTuple& FileName) const

void WriteSamplesClassMlp(const HTuple& MLPHandle, const HTuple& FileName)

void HClassMlp::WriteSamplesClassMlp(const HString& FileName) const

void HClassMlp::WriteSamplesClassMlp(const char* FileName) const

void HOperatorSetX.WriteSamplesClassMlp(
[in] VARIANT MLPHandle, [in] VARIANT FileName)

void HClassMlpX.WriteSamplesClassMlp([in] BSTR FileName)

static void HOperatorSet.WriteSamplesClassMlp(HTuple MLPHandle, HTuple fileName)

void HClassMlp.WriteSamplesClassMlp(string fileName)

Description

write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp writes the training samples stored in the multilayer perceptron (MLP) MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle to the file given by FileNameFileNameFileNameFileNameFileNamefileName. write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp can be used to build up a database of training samples, and hence to improve the performance of the MLP by training it with an extended data set (see train_class_mlptrain_class_mlpTrainClassMlptrain_class_mlpTrainClassMlpTrainClassMlp). For other possible uses of write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp see get_prep_info_class_mlpget_prep_info_class_mlpGetPrepInfoClassMlpget_prep_info_class_mlpGetPrepInfoClassMlpGetPrepInfoClassMlp.

The file FileNameFileNameFileNameFileNameFileNamefileName is overwritten by write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp. Nevertheless, extending the database of training samples is easy to do because read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlp and add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlp add the training samples to the training samples that are already stored in memory with the MLP.

Parallelization

Parameters

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle (input_control)  class_mlp HClassMlp, HTupleHTupleHClassMlp, HTupleHClassMlpX, VARIANTHtuple (integer) (IntPtr) (Hlong) (Hlong) (Hlong) (Hlong)

MLP handle.

FileNameFileNameFileNameFileNameFileNamefileName (input_control)  filename.write HTupleHTupleHTupleVARIANTHtuple (string) (string) (HString) (char*) (BSTR) (char*)

File name.

Result

If the parameters are valid, the operator write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp returns the value 2 (H_MSG_TRUE). If necessary an exception is raised.

Possible Predecessors

add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlp

Possible Successors

clear_samples_class_mlpclear_samples_class_mlpClearSamplesClassMlpclear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlp

See also

create_class_mlpcreate_class_mlpCreateClassMlpcreate_class_mlpCreateClassMlpCreateClassMlp, get_prep_info_class_mlpget_prep_info_class_mlpGetPrepInfoClassMlpget_prep_info_class_mlpGetPrepInfoClassMlpGetPrepInfoClassMlp, read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlp

Module

Foundation


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